AI agents in research: when productivity comes at the cost of apprenticeship
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AI agents in research: when productivity comes at the cost of apprenticeship
"Claude Code and OpenClaw have been the perfect assistants that any researcher would want: they are always available, can review literature, grasp our guidance quickly and can debug complex codes in minutes or hours, rather than weeks or months."
"It's tempting to outsource most data collection, cleaning and curation to these tools. We doubt we are alone in feeling this way."
Artificial intelligence assistants Claude Code and OpenClaw have proven to be invaluable in research projects. They are always available, can efficiently review literature, and quickly adapt to guidance. These tools can debug complex codes in a fraction of the time it would take a human, making them highly effective for data collection, cleaning, and curation. The reliance on these AI tools is growing among researchers, indicating a shift in how research tasks are approached.
Read at Nature
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